Development of an Industry 4.0-Based Analytical Method for the Value Stream Centered Optimization of Demand-Driven Warehousing Systems

In real life situations, the material handling strategy of on-site storage systems is usually determined during the design of the storage system, which is no longer reviewed later. The strategy is typically determined by the person(s) designing the storage system, without the use of scientific metho...

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Autores principales:	Péter Dobos, Ákos Cservenák, Róbert Skapinyecz, Béla Illés, Péter Tamás
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	demand-driven storage systems Industry 4.0 sustainability value stream analysis optimization Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/e6a375df270545c68783b084a8165123
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id	oai:doaj.org-article:e6a375df270545c68783b084a8165123
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spelling	oai:doaj.org-article:e6a375df270545c68783b084a81651232021-11-11T19:36:23ZDevelopment of an Industry 4.0-Based Analytical Method for the Value Stream Centered Optimization of Demand-Driven Warehousing Systems10.3390/su1321119142071-1050https://doaj.org/article/e6a375df270545c68783b084a81651232021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/11914https://doaj.org/toc/2071-1050In real life situations, the material handling strategy of on-site storage systems is usually determined during the design of the storage system, which is no longer reviewed later. The strategy is typically determined by the person(s) designing the storage system, without the use of scientific methods, based on previous experience. Without a thorough periodic review of operational strategy, most companies’ warehousing systems have significant logistical losses (e.g., unnecessary material handling, waiting, operations), which also negatively affects the sustainability of the logistics operations. Therefore, eliminating these losses can increase both the competitiveness and the sustainability of companies. For this reason, the aim of this publication is to introduce a gap-filling test method that allows the selection of an optimal material handling strategy covering the total value stream in a demand-driven storage environment, using the opportunities offered by the Industry 4.0 concept, in particular in the field of big data analysis. This integrated approach has so far not emerged in the study of warehouse material handling strategies. Beyond the obvious economic benefits, the application of this method can clearly help companies to achieve a higher level of sustainability in their logistics operations, as it allows storage systems to operate more efficiently while minimizing material handling losses, ultimately resulting in a lesser demand for energy and raw materials. Moreover, this can also result in a reduction in the human and machine resources required to perform the tasks.Péter DobosÁkos CservenákRóbert SkapinyeczBéla IllésPéter TamásMDPI AGarticledemand-driven storage systemsIndustry 4.0sustainabilityvalue stream analysisoptimizationEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 11914, p 11914 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	demand-driven storage systems Industry 4.0 sustainability value stream analysis optimization Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	demand-driven storage systems Industry 4.0 sustainability value stream analysis optimization Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Péter Dobos Ákos Cservenák Róbert Skapinyecz Béla Illés Péter Tamás Development of an Industry 4.0-Based Analytical Method for the Value Stream Centered Optimization of Demand-Driven Warehousing Systems
description	In real life situations, the material handling strategy of on-site storage systems is usually determined during the design of the storage system, which is no longer reviewed later. The strategy is typically determined by the person(s) designing the storage system, without the use of scientific methods, based on previous experience. Without a thorough periodic review of operational strategy, most companies’ warehousing systems have significant logistical losses (e.g., unnecessary material handling, waiting, operations), which also negatively affects the sustainability of the logistics operations. Therefore, eliminating these losses can increase both the competitiveness and the sustainability of companies. For this reason, the aim of this publication is to introduce a gap-filling test method that allows the selection of an optimal material handling strategy covering the total value stream in a demand-driven storage environment, using the opportunities offered by the Industry 4.0 concept, in particular in the field of big data analysis. This integrated approach has so far not emerged in the study of warehouse material handling strategies. Beyond the obvious economic benefits, the application of this method can clearly help companies to achieve a higher level of sustainability in their logistics operations, as it allows storage systems to operate more efficiently while minimizing material handling losses, ultimately resulting in a lesser demand for energy and raw materials. Moreover, this can also result in a reduction in the human and machine resources required to perform the tasks.
format	article
author	Péter Dobos Ákos Cservenák Róbert Skapinyecz Béla Illés Péter Tamás
author_facet	Péter Dobos Ákos Cservenák Róbert Skapinyecz Béla Illés Péter Tamás
author_sort	Péter Dobos
title	Development of an Industry 4.0-Based Analytical Method for the Value Stream Centered Optimization of Demand-Driven Warehousing Systems
title_short	Development of an Industry 4.0-Based Analytical Method for the Value Stream Centered Optimization of Demand-Driven Warehousing Systems
title_full	Development of an Industry 4.0-Based Analytical Method for the Value Stream Centered Optimization of Demand-Driven Warehousing Systems
title_fullStr	Development of an Industry 4.0-Based Analytical Method for the Value Stream Centered Optimization of Demand-Driven Warehousing Systems
title_full_unstemmed	Development of an Industry 4.0-Based Analytical Method for the Value Stream Centered Optimization of Demand-Driven Warehousing Systems
title_sort	development of an industry 4.0-based analytical method for the value stream centered optimization of demand-driven warehousing systems
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/e6a375df270545c68783b084a8165123
work_keys_str_mv	AT peterdobos developmentofanindustry40basedanalyticalmethodforthevaluestreamcenteredoptimizationofdemanddrivenwarehousingsystems AT akoscservenak developmentofanindustry40basedanalyticalmethodforthevaluestreamcenteredoptimizationofdemanddrivenwarehousingsystems AT robertskapinyecz developmentofanindustry40basedanalyticalmethodforthevaluestreamcenteredoptimizationofdemanddrivenwarehousingsystems AT belailles developmentofanindustry40basedanalyticalmethodforthevaluestreamcenteredoptimizationofdemanddrivenwarehousingsystems AT petertamas developmentofanindustry40basedanalyticalmethodforthevaluestreamcenteredoptimizationofdemanddrivenwarehousingsystems
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Development of an Industry 4.0-Based Analytical Method for the Value Stream Centered Optimization of Demand-Driven Warehousing Systems

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